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Holger R. Roth
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2020 – today
- 2024
[j30]Chen Shen
, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori:
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. 19(4): 655-664 (2024)- [j29]Chih-Hung Wang, Tzu-Ching Lin, Guanru Chen, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang:
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. J. Medical Syst. 48(1): 1 (2024) - [j28]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [j27]Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95: 103207 (2024) - [j26]Inken Hagestedt, Ian Hales, Eric Boernert, Holger R. Roth, Michael A. Hoeh, Robin Roehm, Ellie Dobson, José Tomás Prieto:
Toward a tipping point in federated learning in healthcare and life sciences. Patterns 5(11): 101077 (2024) - [c105]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML 2024 - [c104]Pooneh Roshanitabrizi, Vishwesh Nath, Kelsey Brown, Alison Tompsett, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Holger R. Roth, Craig A. Sable, Marius George Linguraru:
Uncertainty-Driven Rheumatic Heart Disease Detection through Active Learning. ISBI 2024: 1-5 - [c103]Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Ramon Sánchez-Jacob, Vishwesh Nath, Holger R. Roth, Marius George Linguraru:
D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. MedAGI@MICCAI 2024: 91-102 - [c102]Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar, Niall J. Bourke, Joseph V. Hajnal, Victoria Nankabirwa, Sean C. L. Deoni, Natasha Leporé, Marius George Linguraru:
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. MICCAI (3) 2024: 444-454 - [c101]Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth:
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. MLMI@MICCAI (2) 2024: 148-158 - [c100]Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen:
Federated Black-box Prompt Tuning System for Large Language Models on the Edge. MobiCom 2024: 1775-1777 - [c99]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c98]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Quality Labels for Robust Image Classification. WACV 2024: 1092-1101 - [c97]Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao:
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV 2024: 7640-7649 - [i89]Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - [i88]Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth:
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR abs/2405.03636 (2024) - [i87]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i86]Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR abs/2407.00031 (2024) - [i85]Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru:
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. CoRR abs/2407.02604 (2024) - [i84]Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo:
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR abs/2407.03307 (2024) - [i83]Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth:
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR abs/2407.13632 (2024) - [i82]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i81]Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu:
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR abs/2411.12915 (2024) - [i80]Parker Addison, Minh-Tuan H. Nguyen, Tomislav Medan, Jinali Shah, Mohammad T. Manzari, Brendan McElrone, Laksh Lalwani, Aboli More, Smita Sharma, Holger R. Roth, Isaac Yang, Chester Chen, Daguang Xu, Yan Cheng, Andrew Feng, Ziyue Xu:
C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. CoRR abs/2412.13163 (2024) - [i79]Pochuan Wang, Chen Shen, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth:
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach. CoRR abs/2412.18833 (2024) - 2023
- [j25]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - [j24]Malhar Patel, Ittai Dayan, Elliot K. Fishman, Mona Flores, Fiona J. Gilbert, Michal Guindy, Eugene J. Koay, Michael Rosenthal, Holger R. Roth, Marius George Linguraru:
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics J. 29(4) (2023) - [j23]Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li:
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging 42(7): 1914-1919 (2023) - [j22]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42(7): 2044-2056 (2023) - [c96]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR 2023: 16302-16311 - [c95]Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru:
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. EMBC 2023: 1-5 - [c94]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV 2023: 5180-5189 - [c93]Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. ISBI 2023: 1-4 - [c92]Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru:
From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. Computer-Aided Diagnosis 2023 - [c91]Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth:
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 311-321 - [c90]Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu:
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) 2023: 747-756 - [c89]Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang:
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL 2023: 1239-1253 - [e4]M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i78]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i77]Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu:
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR abs/2303.16520 (2023) - [i76]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR abs/2305.10655 (2023) - [i75]Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth:
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. CoRR abs/2308.04070 (2023) - [i74]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR abs/2310.01467 (2023) - 2022
- [j21]Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori:
A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. Int. J. Comput. Assist. Radiol. Surg. 17(2): 343-354 (2022) - [j20]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j19]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [c88]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CVPR 2022: 10011-10020 - [c87]Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR 2022: 20698-20708 - [c86]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c85]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c84]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI 2022: 11-21 - [c83]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI 2022: 47-57 - [c82]Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth:
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. DeCaF/FAIR@MICCAI 2022: 58-67 - [c81]Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu:
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) 2022: 77-87 - [c80]Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu:
Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. MICCAI (8) 2022: 297-308 - [c79]Pooneh R. Tabrizi, Holger R. Roth, Alison Tompsett, Athelia Rosa Paulli, Kelsey Brown, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Craig Sable, Marius George Linguraru:
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings. MICCAI (1) 2022: 602-612 - [c78]Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori:
Effective hyperparameter optimization with proxy data for multi-organ segmentation. Image Processing 2022 - [c77]Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. WACV 2022: 1748-1758 - [e3]Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu:
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [i73]Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. CoRR abs/2201.01266 (2022) - [i72]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i71]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i70]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - [i69]Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov:
GradViT: Gradient Inversion of Vision Transformers. CoRR abs/2203.11894 (2022) - [i68]Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i67]Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu:
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR abs/2204.00631 (2022) - [i66]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR abs/2208.10553 (2022) - [i65]Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu:
Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. CoRR abs/2209.06285 (2022) - [i64]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - [i63]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j18]Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold:
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28(6): 1259-1264 (2021) - [j17]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. 3(2): 507-524 (2021) - [j16]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [j15]Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang:
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging 40(10): 2526-2533 (2021) - [j14]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 40(10): 2534-2547 (2021) - [c76]Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu:
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) 2021: 272-284 - [c75]Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori:
Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 46-55 - [c74]Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 101-110 - [c73]Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu:
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CVPR 2021: 5841-5850 - [c72]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV 2021: 3942-3954 - [c71]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) 2021: 329-338 - [c70]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - [c69]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) 2021: 456-465 - [c68]Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang:
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. STACOM@MICCAI 2021: 208-218 - [e2]Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [i62]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. CoRR abs/2101.02323 (2021) - [i61]Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. CoRR abs/2103.10504 (2021) - [i60]Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu:
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CoRR abs/2103.15954 (2021) - [i59]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i58]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR abs/2107.05471 (2021) - [i57]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i56]Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori:
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CoRR abs/2108.08537 (2021) - [i55]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR abs/2111.01556 (2021) - [i54]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR abs/2111.07535 (2021) - [i53]Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR abs/2111.14791 (2021) - 2020
- [j13]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [j12]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [j11]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - [c67]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR 2020: 4125-4134 - [c66]Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori:
Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. Computer-Aided Diagnosis 2020 - [c65]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191 - [c64]Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori:
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. DART/DCL@MICCAI 2020: 192-200 - [c63]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) 2020: 374-384 - [c62]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL 2020: 857-866 - [c61]Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. Image Processing 2020: 1131316 - [c60]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV 2020: 3606-3615 - [c59]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [e1]Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12444, Springer 2020, ISBN 978-3-030-60547-6 [contents] - [i52]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i51]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori:
Colonoscope tracking method based on shape estimation network. CoRR abs/2004.09056 (2020) - [i50]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks. CoRR abs/2004.13629 (2020) - [i49]Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu:
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR abs/2005.14355 (2020) - [i48]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR abs/2006.05847 (2020) - [i47]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i46]Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu:
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR abs/2006.12575 (2020) - [i45]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i44]Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR abs/2009.01871 (2020) - [i43]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR abs/2009.10325 (2020) - [i42]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR abs/2009.11988 (2020) - [i41]Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal:
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i40]Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori:
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. CoRR abs/2009.13148 (2020) - [i39]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020)
2010 – 2019
- 2019
- [j10]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori:
Abdominal artery segmentation method from CT volumes using fully convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2069-2081 (2019) - [j9]Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori:
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams. Comput. Medical Imaging Graph. 77 (2019) - [c58]Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Masahiro Oda, Kensaku Mori:
Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530L - [c57]Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori:
Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531I - [c56]Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kensaku Mori:
Weakly-supervised deep learning of interstitial lung disease types on CT images. Computer-Aided Diagnosis 2019: 109501H - [c55]Yuki Kitahara, Rie Tanaka, Holger R. Roth, Hirohisa Oda, Kensaku Mori, Kazuo Kasahara, Isao Matsumoto:
Lung segmentation based on a deep learning approach for dynamic chest radiography. Computer-Aided Diagnosis 2019: 109503M - [c54]Hayato Itoh, Holger R. Roth, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori:
Polyp-size classification with RGB-D features for colonoscopy. Computer-Aided Diagnosis 2019: 1095015 - [c53]Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu:
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) 2019: 3-11 - [c52]Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu:
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI 2019: 9-17 - [c51]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 42-50 - [c50]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu:
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI 2019: 62-70 - [c49]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI 2019: 72-80 - [c48]Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. MLMI@MICCAI 2019: 124-132 - [c47]Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI 2019: 228-236 - [c46]Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, Kensaku Mori:
Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models. MICCAI (6) 2019: 240-248 - [c45]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori:
Colonoscope tracking method based on shape estimation network. Image-Guided Procedures 2019: 109510Q - [c44]Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
Improving V-Nets for multi-class abdominal organ segmentation. Image Processing 2019: 109490B - [i38]Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson:
Interactive segmentation of medical images through fully convolutional neural networks. CoRR abs/1903.08205 (2019) - [i37]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR abs/1906.03347 (2019) - [i36]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for semantic segmentation of cardiac volumetric sequences. CoRR abs/1906.07295 (2019) - [i35]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR abs/1907.03728 (2019) - [i34]Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori:
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams. CoRR abs/1908.01543 (2019) - [i33]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly supervised segmentation from extreme points. CoRR abs/1910.01236 (2019) - [i32]Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu:
Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR abs/1910.01242 (2019) - [i31]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR abs/1910.01763 (2019) - [i30]Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. CoRR abs/1910.06474 (2019) - [i29]Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CoRR abs/1912.09628 (2019) - 2018
- [j8]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j7]Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers:
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 253-258 (2018) - [j6]Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
An application of cascaded 3D fully convolutional networks for medical image segmentation. Comput. Medical Imaging Graph. 66: 90-99 (2018) - [j5]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45: 94-107 (2018) - [c43]Takaaki Sugino, Holger R. Roth, Masahiro Oda, Seiji Omata, Shinya Sakuma, Fumihito Arai, Kensaku Mori:
Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780V - [c42]Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori:
Unsupervised segmentation of 3D medical images based on clustering and deep representation learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057820 - [c41]Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori:
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. Computer-Aided Diagnosis 2018: 1057502 - [c40]Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori:
Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 118-126 - [c39]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks. MICCAI (4) 2018: 176-184 - [c38]Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori:
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. MICCAI (2) 2018: 228-236 - [c37]Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. MICCAI (4) 2018: 417-425 - [c36]Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori:
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. MICCAI (2) 2018: 611-619 - [c35]Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori:
Unsupervised pathology image segmentation using representation learning with spherical k-means. Digital Pathology 2018: 1058111 - [c34]Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. Image Processing 2018: 105740B - [i28]Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks. CoRR abs/1801.05912 (2018) - [i27]Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
An application of cascaded 3D fully convolutional networks for medical image segmentation. CoRR abs/1803.05431 (2018) - [i26]Holger R. Roth, Chen Shen, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
Deep learning and its application to medical image segmentation. CoRR abs/1803.08691 (2018) - [i25]Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori:
Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means. CoRR abs/1804.03828 (2018) - [i24]Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori:
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning. CoRR abs/1804.03830 (2018) - [i23]Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. CoRR abs/1806.02237 (2018) - [i22]Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori:
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. CoRR abs/1806.03019 (2018) - [i21]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR abs/1811.12506 (2018) - 2017
- [j4]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Trans. Image Process. 26(1): 386-399 (2017) - [c33]Takaaki Sugino, Holger R. Roth, Mohammad Eshghi, Masahiro Oda, Min Suk Chung, Kensaku Mori:
Automatic segmentation of head anatomical structures from sparsely-annotated images. CBS 2017: 145-149 - [c32]Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI 2017: 749-753 - [c31]Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis 2017: 1013405 - [c30]Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Holger Roth, Kensaku Mori:
Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking. CARE/CLIP@MICCAI 2017: 60-69 - [c29]Kai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda, Kensaku Mori:
Micro-CT Guided 3D Reconstruction of Histological Images. Patch-MI@MICCAI 2017: 93-101 - [c28]Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori:
Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network. MICCAI (2) 2017: 198-207 - [c27]Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori:
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. DLMIA/ML-CDS@MICCAI 2017: 222-230 - [c26]Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Toshiaki Akita, Julia A. Schnabel, Kensaku Mori:
TBS: Tensor-Based Supervoxels for Unfolding the Heart. MICCAI (1) 2017: 681-689 - [c25]Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Image Processing 2017: 101332H - [c24]Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku Mori:
Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project. MVA 2017: 290-293 - [p3]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 35-48 - [p2]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [p1]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 279-302 - [i20]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation. CoRR abs/1702.00045 (2017) - [i19]Holger R. Roth, Kai Nagara, Hirohisa Oda, Masahiro Oda, Tomoshi Sugiyama, Shota Nakamura, Kensaku Mori:
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology. CoRR abs/1702.08155 (2017) - [i18]Mohammad Eshghi, Holger R. Roth, Masahiro Oda, Min Suk Chung, Kensaku Mori:
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project. CoRR abs/1703.04967 (2017) - [i17]Holger R. Roth, Hirohisa Oda, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
Hierarchical 3D fully convolutional networks for multi-organ segmentation. CoRR abs/1704.06382 (2017) - [i16]Shuqing Chen, Holger Roth, Sabrina Dorn, Matthias May, Alexander Cavallaro, Michael M. Lell, Marc Kachelrieß, Hirohisa Oda, Kensaku Mori, Andreas K. Maier:
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. CoRR abs/1710.05379 (2017) - [i15]Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. CoRR abs/1711.06439 (2017) - 2016
- [j3]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [j2]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35(5): 1285-1298 (2016) - [c23]Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers:
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. Computer-Aided Diagnosis 2016: 97850P - [c22]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Improving vertebra segmentation through joint vertebra-rib atlases. Computer-Aided Diagnosis 2016: 97853O - [c21]Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers:
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) 2016: 388-397 - [c20]Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. MICCAI (2) 2016: 451-459 - [c19]Ruida Cheng, Holger R. Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan S. McCreedy, Harsh K. Agarwal, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Active appearance model and deep learning for more accurate prostate segmentation on MRI. Image Processing 2016: 97842I - [i14]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CoRR abs/1601.03375 (2016) - [i13]Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers:
Deep convolutional networks for automated detection of posterior-element fractures on spine CT. CoRR abs/1602.00020 (2016) - [i12]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases. CoRR abs/1602.00585 (2016) - [i11]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR abs/1602.03409 (2016) - [i10]Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. CoRR abs/1606.07830 (2016) - 2015
- [c18]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c17]Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers:
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) 2015: 53-61 - [c16]Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers:
Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. CSI@MICCAI 2015: 74-84 - [c15]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) 2015: 556-564 - [c14]Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers:
Deep convolutional networks for pancreas segmentation in CT imaging. Image Processing 2015: 94131G - [i9]Holger R. Roth, Thomas Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes:
Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. CoRR abs/1501.03779 (2015) - [i8]Holger Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers:
Deep convolutional networks for pancreas segmentation in CT imaging. CoRR abs/1504.03967 (2015) - [i7]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i6]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - [i5]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling. CoRR abs/1505.06236 (2015) - [i4]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR abs/1506.06448 (2015) - 2014
- [c13]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) 2014: 520-527 - [c12]Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) 2014: 544-552 - [c11]Holger R. Roth, Thomas E. Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes:
Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. Image-Guided Procedures 2014: 903609 - [i3]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR abs/1406.2639 (2014) - [i2]Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers:
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. CoRR abs/1407.5976 (2014) - [i1]Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR abs/1408.3337 (2014) - 2013
- [j1]Thomas Hampshire, Holger Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes:
Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Anal. 17(8): 946-958 (2013) - [c10]Holger Roth, Jamie McClelland, Thomas Hampshire, Darren Boone, Yipeng Hu, Marc Modat, Hui Zhang, Sébastien Ourselin, Steve Halligan, David J. Hawkes:
Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. Abdominal Imaging 2013: 29-38 - [c9]Thomas Hampshire, Emma Helbren, Andrew Plumb, Holger Roth, Steve Halligan, David J. Hawkes:
Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard. Abdominal Imaging 2013: 39-45 - [c8]Holger Roth, Emma Helbren, Thomas Hampshire, Perry J. Pickhardt, Steve Halligan, David J. Hawkes:
Registration of Temporally Separated CT Colonography Cases. Abdominal Imaging 2013: 46-52 - [c7]Holger R. Roth, Jamie R. McClelland, Marc Modat, Thomas Hampshire, Darren Boone, Emma Helbren, Andrew Plumb, Mingxing Hu, Sébastien Ourselin, Steve Halligan, David J. Hawkes:
CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces. Image Processing 2013: 866912 - 2012
- [c6]David J. Hawkes, Thomy Mertzanidou, John H. Hipwell, David Atkinson, Holger Roth, Tom Hampshire, Jamie McClelland:
Establishing spatial correspondence for the analysis of images from highly deforming anatomy. EMBC 2012: 3732-3735 - [c5]Thomas Hampshire, Holger Roth, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes:
Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging 2012: 1-9 - [c4]Holger Roth, Darren Boone, Steve Halligan, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Shonit Punwani, Stuart Taylor, David J. Hawkes:
External Clinical Validation of Prone and Supine CT Colonography Registration. Abdominal Imaging 2012: 10-19 - 2011
- [c3]Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes:
Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Abdominal Imaging 2011: 1-7 - [c2]Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes:
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) 2011: 508-515 - 2010
- [c1]Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes:
Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) 2010: 497-504
Coauthor Index
Mona Flores
aka: Mona G. Flores
aka: Mona G. Flores
Fausto Milletari
aka: Fausto Milletarì
aka: Fausto Milletarì
[j30] [i79] [c91] [i75] [j21] [c82] [c78] [c75] [c74] [i56] [c66] [c64] [c61] [i51] [i50] [i40] [j10] [j9] [c58] [c57] [c56] [c55] [c54] [c46] [c45] [c44] [i34] [j6] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [c33] [c30] [c29] [c28] [c27] [c26] [c24] [i19] [i18] [i17] [i16] [i15]
[j30] [i79] [c91] [i75] [j21] [c82] [c78] [c75] [c74] [i56] [c66] [c64] [c61] [i51] [i50] [i40] [j10] [j9] [c58] [c57] [c56] [c54] [c46] [c45] [c44] [i34] [j6] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [c33] [c30] [c29] [c28] [c27] [c26] [c24] [i19] [i18] [i17] [i15]
Evrim Turkbey
aka: Evrim B. Turkbey
aka: Evrim B. Turkbey
[j27] [c105] [c100] [c99] [c98] [c97] [i89] [i86] [i84] [i82] [i81] [i80] [j25] [j22] [c96] [c94] [c90] [e4] [i78] [i77] [i76] [i74] [j19] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c77] [e3] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [j18] [j17] [j16] [j14] [c76] [c74] [c73] [c72] [c71] [c70] [c69] [e2] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [j13] [j12] [j11] [c67] [c65] [c64] [c63] [c62] [c60] [c59] [e1] [i52] [i49] [i48] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [i30] [i29] [i21]
[c105] [c101] [c98] [c97] [i89] [i86] [i84] [i83] [i81] [i80] [j25] [c96] [c94] [c90] [i78] [i77] [i74] [j19] [c86] [c85] [c83] [c81] [i71] [i70] [i67] [i66] [i64] [i63] [j18] [j17] [j16] [c72] [c71] [c70] [i57] [i55] [i54] [j11] [c63] [c62] [c60] [e1] [i49] [i48] [i46] [i43] [i42] [i39] [c53] [c52] [c51] [c50] [c47] [i38] [i37] [i35] [i33] [i32] [i31] [j8] [p2] [j2] [i11]
[j29] [c105] [c98] [i81] [j25] [c96] [c94] [c90] [c89] [i78] [i77] [i74] [j19] [c87] [c86] [c85] [c82] [c81] [c80] [c77] [i73] [i71] [i70] [i67] [i65] [i64] [i63] [j17] [j16] [j14] [c76] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [j13] [j11] [c67] [c64] [c62] [c59] [i49] [i48] [i45] [i43] [i42] [i41] [i40] [i39] [c53] [c51] [c50] [c49] [c48] [c47] [i37] [i36] [i35] [i33] [i32] [i30] [i29] [i21]
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-04-03 00:22 CEST by the dblp team
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